A Proposal for an Automated Method to Produce Embossed Graphics for Blind Persons

  • Kazunori Minatani
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8514)


The aim of this paper is to provide examples illustrating the conditions for effectively functionalizing the "method of converting graphics into a form that can be perceived using senses other than sight" in the field of HCI. Specifically, it is shown that advantages that method are fully achieved with the implementation of a prototype embossed graphics output function for the statistical analysis software R. In attempting to generate automated tactile graphics from the output of any kind of graphics software, the strategy described below will be useful: a. To investigate whether the intermediate graphics format used in the relevant software consists of primitive vector format drawing commands and character printing commands that handle characters as codes, and b. If the latter conditions are fulfilled, to perform conversion to tactile graphics at the stage of graphics data expressed as that intermediate format.


blind person embossed graphics vector format 


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  1. 1.
    National Braille Association: NBA Tape Recording Manual, Third Edition. National Braille Association, Rochester (1979)Google Scholar
  2. 2.
    G82: Providing a text alternative that identifies the purpose of the non-text content,
  3. 3.
    Snyder, J.: Audio Description: The Visual Made Verbal. International Journal of The Arts in Society 2(2), 99–104 (2007)Google Scholar
  4. 4.
    TapTapSee - Blind and Visually Impaired Camera,
  5. 5.
    Brown, L., Brewster, S., Ramboll, R., Burton, M., Riedel, B.: Design Guidelines for Audio Presentation of Graphs and Tables. In: Proceedings of the 2003 International Conference on Auditory Display (2003)Google Scholar
  6. 6.
    Accessible Math Audio Graphing Calculator,
  7. 7.
    Miele, J., Marston, J.: Tactile Map Automated Production (TMAP): Project Update and Research Summary. In: CSUN, 2005 Proceedings (2005)Google Scholar
  8. 8.
    Minatani, K., Watanabe, T., Yamaguchi, T., Watanabe, K., Akiyama, J., Miyagi, M., Oouchi, S.: Tactile Map Automated Creation System to Enhance the Mobility of Blind Persons—Its Design Concept and Evaluation through Experiment. In: Miesenberger, K., Klaus, J., Zagler, W., Karshmer, A. (eds.) ICCHP 2010, Part II. LNCS, vol. 6180, pp. 534–540. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  9. 9.
  10. 10.
    Way, T.P., Barner, K.E.: Automatic Visual to Tactile Translation–Part II: Evaluation of The Tactile Image Creation System. IEEE Transactions on Rehabilitation Engineering 5(1), 95–105 (1997)CrossRefGoogle Scholar
  11. 11.
    Jayant, C., Renzelmann, M., Wen, D., Krisnandi, S., Ladner, R., Comden, D.: Automated Tactile Graphics Translation: In the Field. In: Proceedings of 9th International ACM SIGACCESS Conference Computers and Accessibility, Tempe, pp. 75–82 (2007)Google Scholar
  12. 12.
    Core Team, R.: R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna (2012)Google Scholar
  13. 13.
    Godfrey, A.J.R.: BrailleR: The BrailleR Project. In: Digitization and E-Inclusion in Mathematics and Science 2012 (2012)Google Scholar
  14. 14.
  15. 15.
  16. 16.
    Edel and its related software, (in Japanese, English version of these software are also hosted)

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Kazunori Minatani
    • 1
  1. 1.National Center for University Entrance ExaminationsMeguro-kuJapan

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